AI Threat AlertAI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
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Latest AI Security Threats
Showing 20 of 1908 results — High severityCVE-2021-41219TensorFlow: heap OOB in sparse matrix multiply7.80.2%tensorflowNov 5HIGHECVE-2021-41214TensorFlow: null deref in ragged ops, local RCE7.80.2%tensorflowNov 5HIGHECVE-2021-41212TensorFlow: heap OOB read in ragged.cross shape inference7.10.2%tensorflowNov 5HIGHECVE-2021-41211TensorFlow: heap OOB read in QuantizeV2 shape inference7.10.2%tensorflowNov 5HIGHECVE-2021-41205TensorFlow: heap OOB read in quantize ops, DoS+leak7.10.2%tensorflowNov 5HIGHECVE-2021-41203TensorFlow: malformed checkpoint triggers overflow/crash7.80.2%tensorflowNov 5HIGHECVE-2021-41210TensorFlow: heap OOB read in SparseCountSparseOutput7.10.2%tensorflowNov 5HIGHECVE-2021-41201TensorFlow: uninitialized var in Einsum allows local RCE7.80.2%tensorflowNov 5HIGHCVE-2021-39160nbgitpuller: RCE via OS command injection in git URLs8.81.7%—Aug 30HIGHCVE-2021-37682TFLite: uninitialized quant params corrupt inference7.10.2%tensorflowAug 12HIGHCVE-2021-37679TensorFlow: heap over-read leaks memory via RaggedTensor7.80.2%tensorflowAug 12HIGHECVE-2021-37678TensorFlow/Keras: RCE via YAML model deserialization8.80.4%tensorflowAug 12HIGHCVE-2021-37665TensorFlow MKL: null-ptr/heap-OOB in requantization ops7.80.2%tensorflowAug 12HIGHCVE-2021-37663TensorFlow: QuantizeV2 heap OOB/null-deref in quantization7.80.2%tensorflowAug 12HIGHCVE-2021-37681TensorFlow Lite: null ptr deref crashes SVDF inference7.80.2%tensorflowAug 12HIGHCVE-2021-37676TensorFlow: null ptr deref in SparseFillEmptyRows op7.80.2%tensorflowAug 12HIGHCVE-2021-37671TensorFlow: null-ptr deref in Map ops, local C/I/A:High7.80.2%tensorflowAug 12HIGHCVE-2021-37667TensorFlow: UnicodeEncode null deref, local code exec7.80.2%tensorflowAug 12HIGHCVE-2021-37666TensorFlow: null-ptr deref in RaggedTensorToVariant op7.80.2%tensorflowAug 12HIGHCVE-2021-37652TensorFlow: double-free in BoostedTrees, code exec7.80.2%tensorflowAug 12Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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